A.W. Hermansson, S. Syafiie
In this paper, a novel combination of a multi-model predictive controller (MMPC) and an adaptive integral controller is usedto achieve offset-free control of a nonlinear process. The idea is to avoid the more complex tuning that comes with an offset-free control based on an observer. To create an easily tuned controller based on a piecewise linear (PWL) description of an MPC setup, which utilizes a Bayesian weighting approach. The PWL models are also used to design the separate the I-controller that is made adaptive by using the Bayesian weighting again. The MPC and the I-controller are then acting in parallel. The setup is implemented and tested using a simulation of a pH neutralization process. © 2020 IOP Publishing Ltd.
School of Engineering and Physical Sciences, Heriot-Watt University Malaysia, No. 1 Jalan Venna P5/2, Precinct 5, Putrajaya, Wilayah Persekutuan Putrajaya, 62200, Malaysia; Department of Chemical and Material Engineering, Faculty of Engineering, King Abdulaziz University, Rabigh, 21911, Saudi Arabia; Department of Industrial Engineering, Faculty of Engineering, Syiah Kuala University, Darussalam - Banda Aceh, 23111, Indonesia
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